Pandas Profiling Report

Dataset statistics

Number of variables	26
Number of observations	6080
Missing cells	11618
Missing cells (%)	7.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	237.7 B

Variable types

Categorical	15
Numeric	10
Unsupported	1

Alerts

`comp` has constant value "La Liga"	Constant
`match report` has constant value "Match Report"	Constant
`date` has a high cardinality: 1050 distinct values	High cardinality
`captain` has a high cardinality: 306 distinct values	High cardinality
`pk` is highly imbalanced (72.0%)	Imbalance
`pkatt` is highly imbalanced (66.1%)	Imbalance
`xg` has 1520 (25.0%) missing values	Missing
`xga` has 1520 (25.0%) missing values	Missing
`attendance` has 976 (16.1%) missing values	Missing
`notes` has 6080 (100.0%) missing values	Missing
`dist` has 1522 (25.0%) missing values	Missing
`round` is uniformly distributed	Uniform
`venue` is uniformly distributed	Uniform
`notes` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`gf` has 1740 (28.6%) zeros	Zeros
`ga` has 1740 (28.6%) zeros	Zeros
`sot` has 198 (3.3%) zeros	Zeros

Reproduction

Analysis started	2023-08-13 23:48:53.138372
Analysis finished	2023-08-13 23:49:08.042310
Duration	14.9 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

date
Categorical

Distinct	1050
Distinct (%)	17.3%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

2023-06-04	20
2019-05-12	20
2020-07-16	20
2020-07-19	20
2021-05-16	20
Other values (1045)	5980

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	60800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022-08-13
2nd row	2022-08-21
3rd row	2022-08-28
4th row	2022-09-03
5th row	2022-09-10

Common Values

Value	Count	Frequency (%)
2023-06-04	20	0.3%
2019-05-12	20	0.3%
2020-07-16	20	0.3%
2020-07-19	20	0.3%
2021-05-16	20	0.3%
2016-05-08	20	0.3%
2023-05-28	18	0.3%
2022-05-15	18	0.3%
2015-12-30	18	0.3%
2021-04-18	16	0.3%
Other values (1040)	5890	96.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2023-06-04	20	0.3%
2020-07-16	20	0.3%
2020-07-19	20	0.3%
2021-05-16	20	0.3%
2016-05-08	20	0.3%
2019-05-12	20	0.3%
2023-05-28	18	0.3%
2022-05-15	18	0.3%
2015-12-30	18	0.3%
2019-05-18	16	0.3%
Other values (1040)	5890	96.9%

Most occurring characters

Value	Count	Frequency (%)
0	14216	23.4%
2	13464	22.1%
-	12160	20.0%
1	9706	16.0%
9	2030	3.3%
3	1900	3.1%
8	1712	2.8%
7	1454	2.4%
6	1418	2.3%
5	1400	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48640	80.0%
Dash Punctuation	12160	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14216	29.2%
2	13464	27.7%
1	9706	20.0%
9	2030	4.2%
3	1900	3.9%
8	1712	3.5%
7	1454	3.0%
6	1418	2.9%
5	1400	2.9%
4	1340	2.8%

Dash Punctuation

Value	Count	Frequency (%)
-	12160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	60800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	14216	23.4%
2	13464	22.1%
-	12160	20.0%
1	9706	16.0%
9	2030	3.3%
3	1900	3.1%
8	1712	2.8%
7	1454	2.4%
6	1418	2.3%
5	1400	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	14216	23.4%
2	13464	22.1%
-	12160	20.0%
1	9706	16.0%
9	2030	3.3%
3	1900	3.1%
8	1712	2.8%
7	1454	2.4%
6	1418	2.3%
5	1400	2.3%

time
Categorical

Distinct	30
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

21:00	1080
18:30	936
16:15	702
20:45	452
14:00	392
Other values (25)	2518

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	30400
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	21:00
2nd row	22:00
3rd row	19:30
4th row	21:00
5th row	18:30

Common Values

Value	Count	Frequency (%)
21:00	1080	17.8%
18:30	936	15.4%
16:15	702	11.5%
20:45	452	7.4%
14:00	392	6.4%
12:00	296	4.9%
20:30	260	4.3%
16:00	246	4.0%
19:30	238	3.9%
22:00	238	3.9%
Other values (20)	1240	20.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21:00	1080	17.8%
18:30	936	15.4%
16:15	702	11.5%
20:45	452	7.4%
14:00	392	6.4%
12:00	296	4.9%
20:30	260	4.3%
16:00	246	4.0%
19:30	238	3.9%
22:00	238	3.9%
Other values (20)	1240	20.4%

Most occurring characters

Value	Count	Frequency (%)
0	8438	27.8%
:	6080	20.0%
1	5808	19.1%
2	3106	10.2%
3	1860	6.1%
5	1536	5.1%
8	1132	3.7%
6	954	3.1%
4	888	2.9%
9	454	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24320	80.0%
Other Punctuation	6080	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8438	34.7%
1	5808	23.9%
2	3106	12.8%
3	1860	7.6%
5	1536	6.3%
8	1132	4.7%
6	954	3.9%
4	888	3.7%
9	454	1.9%
7	144	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30400	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8438	27.8%
:	6080	20.0%
1	5808	19.1%
2	3106	10.2%
3	1860	6.1%
5	1536	5.1%
8	1132	3.7%
6	954	3.1%
4	888	2.9%
9	454	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30400	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8438	27.8%
:	6080	20.0%
1	5808	19.1%
2	3106	10.2%
3	1860	6.1%
5	1536	5.1%
8	1132	3.7%
6	954	3.1%
4	888	2.9%
9	454	1.5%

comp
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

La Liga	6080

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	42560
Distinct characters	5
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	La Liga
2nd row	La Liga
3rd row	La Liga
4th row	La Liga
5th row	La Liga

Common Values

Value	Count	Frequency (%)
La Liga	6080	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
la	6080	50.0%
liga	6080	50.0%

Most occurring characters

Value	Count	Frequency (%)
L	12160	28.6%
a	12160	28.6%
	6080	14.3%
i	6080	14.3%
g	6080	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24320	57.1%
Uppercase Letter	12160	28.6%
Space Separator	6080	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12160	50.0%
i	6080	25.0%
g	6080	25.0%

Uppercase Letter

Value	Count	Frequency (%)
L	12160	100.0%

Space Separator

Value	Count	Frequency (%)
	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36480	85.7%
Common	6080	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
L	12160	33.3%
a	12160	33.3%
i	6080	16.7%
g	6080	16.7%

Common

Value	Count	Frequency (%)
	6080	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
L	12160	28.6%
a	12160	28.6%
	6080	14.3%
i	6080	14.3%
g	6080	14.3%

round
Categorical

Distinct	38
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Matchweek 1	160
Matchweek 29	160
Matchweek 22	160
Matchweek 23	160
Matchweek 24	160
Other values (33)	5280

Length

Max length	12
Median length	12
Mean length	11.763158
Min length	11

Characters and Unicode

Total characters	71520
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Matchweek 1
2nd row	Matchweek 2
3rd row	Matchweek 3
4th row	Matchweek 4
5th row	Matchweek 5

Common Values

Value	Count	Frequency (%)
Matchweek 1	160	2.6%
Matchweek 29	160	2.6%
Matchweek 22	160	2.6%
Matchweek 23	160	2.6%
Matchweek 24	160	2.6%
Matchweek 25	160	2.6%
Matchweek 26	160	2.6%
Matchweek 27	160	2.6%
Matchweek 28	160	2.6%
Matchweek 30	160	2.6%
Other values (28)	4480	73.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
matchweek	6080	50.0%
9	160	1.3%
19	160	1.3%
3	160	1.3%
4	160	1.3%
5	160	1.3%
6	160	1.3%
7	160	1.3%
8	160	1.3%
10	160	1.3%
Other values (29)	4640	38.2%

Most occurring characters

Value	Count	Frequency (%)
e	12160	17.0%
M	6080	8.5%
t	6080	8.5%
c	6080	8.5%
h	6080	8.5%
w	6080	8.5%
k	6080	8.5%
	6080	8.5%
a	6080	8.5%
2	2240	3.1%
Other values (9)	8480	11.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	48640	68.0%
Decimal Number	10720	15.0%
Uppercase Letter	6080	8.5%
Space Separator	6080	8.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2240	20.9%
1	2240	20.9%
3	2080	19.4%
4	640	6.0%
5	640	6.0%
6	640	6.0%
7	640	6.0%
8	640	6.0%
9	480	4.5%
0	480	4.5%

Lowercase Letter

Value	Count	Frequency (%)
e	12160	25.0%
t	6080	12.5%
c	6080	12.5%
h	6080	12.5%
w	6080	12.5%
k	6080	12.5%
a	6080	12.5%

Uppercase Letter

Value	Count	Frequency (%)
M	6080	100.0%

Space Separator

Value	Count	Frequency (%)
	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	54720	76.5%
Common	16800	23.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
	6080	36.2%
2	2240	13.3%
1	2240	13.3%
3	2080	12.4%
4	640	3.8%
5	640	3.8%
6	640	3.8%
7	640	3.8%
8	640	3.8%
9	480	2.9%

Latin

Value	Count	Frequency (%)
e	12160	22.2%
M	6080	11.1%
t	6080	11.1%
c	6080	11.1%
h	6080	11.1%
w	6080	11.1%
k	6080	11.1%
a	6080	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71520	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12160	17.0%
M	6080	8.5%
t	6080	8.5%
c	6080	8.5%
h	6080	8.5%
w	6080	8.5%
k	6080	8.5%
	6080	8.5%
a	6080	8.5%
2	2240	3.1%
Other values (9)	8480	11.9%

day
Categorical

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Sun	2348
Sat	2070
Fri	484
Mon	380
Wed	360
Other values (2)	438

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18240
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sat
2nd row	Sun
3rd row	Sun
4th row	Sat
5th row	Sat

Common Values

Value	Count	Frequency (%)
Sun	2348	38.6%
Sat	2070	34.0%
Fri	484	8.0%
Mon	380	6.2%
Wed	360	5.9%
Thu	228	3.8%
Tue	210	3.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sun	2348	38.6%
sat	2070	34.0%
fri	484	8.0%
mon	380	6.2%
wed	360	5.9%
thu	228	3.8%
tue	210	3.5%

Most occurring characters

Value	Count	Frequency (%)
S	4418	24.2%
u	2786	15.3%
n	2728	15.0%
a	2070	11.3%
t	2070	11.3%
e	570	3.1%
F	484	2.7%
r	484	2.7%
i	484	2.7%
T	438	2.4%
Other values (5)	1708	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12160	66.7%
Uppercase Letter	6080	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	2786	22.9%
n	2728	22.4%
a	2070	17.0%
t	2070	17.0%
e	570	4.7%
r	484	4.0%
i	484	4.0%
o	380	3.1%
d	360	3.0%
h	228	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	4418	72.7%
F	484	8.0%
T	438	7.2%
M	380	6.2%
W	360	5.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18240	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	4418	24.2%
u	2786	15.3%
n	2728	15.0%
a	2070	11.3%
t	2070	11.3%
e	570	3.1%
F	484	2.7%
r	484	2.7%
i	484	2.7%
T	438	2.4%
Other values (5)	1708	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	4418	24.2%
u	2786	15.3%
n	2728	15.0%
a	2070	11.3%
t	2070	11.3%
e	570	3.1%
F	484	2.7%
r	484	2.7%
i	484	2.7%
T	438	2.4%
Other values (5)	1708	9.4%

venue
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Home	3040
Away	3040

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	24320
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Home
2nd row	Away
3rd row	Home
4th row	Away
5th row	Away

Common Values

Value	Count	Frequency (%)
Home	3040	50.0%
Away	3040	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
home	3040	50.0%
away	3040	50.0%

Most occurring characters

Value	Count	Frequency (%)
H	3040	12.5%
o	3040	12.5%
m	3040	12.5%
e	3040	12.5%
A	3040	12.5%
w	3040	12.5%
a	3040	12.5%
y	3040	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18240	75.0%
Uppercase Letter	6080	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3040	16.7%
m	3040	16.7%
e	3040	16.7%
w	3040	16.7%
a	3040	16.7%
y	3040	16.7%

Uppercase Letter

Value	Count	Frequency (%)
H	3040	50.0%
A	3040	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24320	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	3040	12.5%
o	3040	12.5%
m	3040	12.5%
e	3040	12.5%
A	3040	12.5%
w	3040	12.5%
a	3040	12.5%
y	3040	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	3040	12.5%
o	3040	12.5%
m	3040	12.5%
e	3040	12.5%
A	3040	12.5%
w	3040	12.5%
a	3040	12.5%
y	3040	12.5%

result
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

W	2249
L	2249
D	1582

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	6080
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	D
2nd row	W
3rd row	W
4th row	W
5th row	W

Common Values

Value	Count	Frequency (%)
W	2249	37.0%
L	2249	37.0%
D	1582	26.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
w	2249	37.0%
l	2249	37.0%
d	1582	26.0%

Most occurring characters

Value	Count	Frequency (%)
W	2249	37.0%
L	2249	37.0%
D	1582	26.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	6080	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
W	2249	37.0%
L	2249	37.0%
D	1582	26.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6080	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	2249	37.0%
L	2249	37.0%
D	1582	26.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6080	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	2249	37.0%
L	2249	37.0%
D	1582	26.0%

gf
Real number (ℝ)

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3106908

Minimum	0
Maximum	10
Zeros	1740
Zeros (%)	28.6%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2182541
Coefficient of variation (CV)	0.9294748
Kurtosis	1.8087349
Mean	1.3106908
Median Absolute Deviation (MAD)	1
Skewness	1.1314028
Sum	7969
Variance	1.484143
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	2094	34.4%
0	1740	28.6%
2	1368	22.5%
3	537	8.8%
4	225	3.7%
5	80	1.3%
6	29	0.5%
7	4	0.1%
8	2	< 0.1%
10	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1740	28.6%
1	2094	34.4%
2	1368	22.5%
3	537	8.8%
4	225	3.7%
5	80	1.3%
6	29	0.5%
7	4	0.1%
8	2	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
8	2	< 0.1%
7	4	0.1%
6	29	0.5%
5	80	1.3%
4	225	3.7%
3	537	8.8%
2	1368	22.5%
1	2094	34.4%
0	1740	28.6%

ga
Real number (ℝ)

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3106908

Minimum	0
Maximum	10
Zeros	1740
Zeros (%)	28.6%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2182541
Coefficient of variation (CV)	0.9294748
Kurtosis	1.8087349
Mean	1.3106908
Median Absolute Deviation (MAD)	1
Skewness	1.1314028
Sum	7969
Variance	1.484143
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	2094	34.4%
0	1740	28.6%
2	1368	22.5%
3	537	8.8%
4	225	3.7%
5	80	1.3%
6	29	0.5%
7	4	0.1%
8	2	< 0.1%
10	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1740	28.6%
1	2094	34.4%
2	1368	22.5%
3	537	8.8%
4	225	3.7%
5	80	1.3%
6	29	0.5%
7	4	0.1%
8	2	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
8	2	< 0.1%
7	4	0.1%
6	29	0.5%
5	80	1.3%
4	225	3.7%
3	537	8.8%
2	1368	22.5%
1	2094	34.4%
0	1740	28.6%

opponent
Categorical

Distinct	30
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Atlético Madrid	304
Celta Vigo	304
Real Sociedad	304
Valencia	304
Athletic Club	304
Other values (25)	4560

Length

Max length	15
Median length	11
Mean length	8.7625
Min length	5

Characters and Unicode

Total characters	53276
Distinct characters	41
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rayo Vallecano
2nd row	Real Sociedad
3rd row	Valladolid
4th row	Sevilla
5th row	Cádiz

Common Values

Value	Count	Frequency (%)
Atlético Madrid	304	5.0%
Celta Vigo	304	5.0%
Real Sociedad	304	5.0%
Valencia	304	5.0%
Athletic Club	304	5.0%
Betis	304	5.0%
Real Madrid	304	5.0%
Villarreal	304	5.0%
Sevilla	304	5.0%
Barcelona	304	5.0%
Other values (20)	3040	50.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
madrid	608	7.5%
real	608	7.5%
athletic	304	3.8%
barcelona	304	3.8%
sevilla	304	3.8%
villarreal	304	3.8%
club	304	3.8%
atlético	304	3.8%
valencia	304	3.8%
sociedad	304	3.8%
Other values (27)	4408	54.7%

Most occurring characters

Value	Count	Frequency (%)
a	8284	15.5%
l	5814	10.9%
e	4560	8.6%
i	3800	7.1%
d	2432	4.6%
r	2394	4.5%
t	2394	4.5%
o	2356	4.4%
n	2052	3.9%
	1976	3.7%
Other values (31)	17214	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43244	81.2%
Uppercase Letter	8056	15.1%
Space Separator	1976	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8284	19.2%
l	5814	13.4%
e	4560	10.5%
i	3800	8.8%
d	2432	5.6%
r	2394	5.5%
t	2394	5.5%
o	2356	5.4%
n	2052	4.7%
c	1976	4.6%
Other values (17)	7182	16.6%

Uppercase Letter

Value	Count	Frequency (%)
V	1216	15.1%
A	874	10.8%
M	836	10.4%
C	836	10.4%
R	760	9.4%
S	684	8.5%
G	646	8.0%
L	608	7.5%
B	608	7.5%
E	608	7.5%
Other values (3)	380	4.7%

Space Separator

Value	Count	Frequency (%)
	1976	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	51300	96.3%
Common	1976	3.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8284	16.1%
l	5814	11.3%
e	4560	8.9%
i	3800	7.4%
d	2432	4.7%
r	2394	4.7%
t	2394	4.7%
o	2356	4.6%
n	2052	4.0%
c	1976	3.9%
Other values (30)	15238	29.7%

Common

Value	Count	Frequency (%)
	1976	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52136	97.9%
None	1140	2.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	8284	15.9%
l	5814	11.2%
e	4560	8.7%
i	3800	7.3%
d	2432	4.7%
r	2394	4.6%
t	2394	4.6%
o	2356	4.5%
n	2052	3.9%
	1976	3.8%
Other values (26)	16074	30.8%

None

Value	Count	Frequency (%)
é	684	60.0%
á	228	20.0%
ñ	114	10.0%
ó	76	6.7%
í	38	3.3%

xg
Real number (ℝ)

Distinct	53
Distinct (%)	1.2%
Missing	1520
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2822149

Minimum	0
Maximum	5.6
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.7
median	1.1
Q3	1.7
95-th percentile	2.7
Maximum	5.6
Range	5.6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.77164996
Coefficient of variation (CV)	0.60181016
Kurtosis	1.5148421
Mean	1.2822149
Median Absolute Deviation (MAD)	0.5
Skewness	1.0552209
Sum	5846.9
Variance	0.59544366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9	276	4.5%
0.8	263	4.3%
1.2	258	4.2%
1	255	4.2%
0.7	253	4.2%
0.6	251	4.1%
0.5	242	4.0%
1.1	228	3.8%
0.4	223	3.7%
1.3	213	3.5%
Other values (43)	2098	34.5%
(Missing)	1520	25.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.1	40	0.7%
0.2	119	2.0%
0.3	131	2.2%
0.4	223	3.7%
0.5	242	4.0%
0.6	251	4.1%
0.7	253	4.2%
0.8	263	4.3%
0.9	276	4.5%

Value	Count	Frequency (%)
5.6	1	< 0.1%
5.3	1	< 0.1%
5.1	1	< 0.1%
4.9	1	< 0.1%
4.8	1	< 0.1%
4.7	1	< 0.1%
4.6	2	< 0.1%
4.5	2	< 0.1%
4.4	2	< 0.1%
4.3	2	< 0.1%

xga
Real number (ℝ)

Distinct	53
Distinct (%)	1.2%
Missing	1520
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2822149

Minimum	0
Maximum	5.6
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	0.7
median	1.1
Q3	1.7
95-th percentile	2.7
Maximum	5.6
Range	5.6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.77164996
Coefficient of variation (CV)	0.60181016
Kurtosis	1.5148421
Mean	1.2822149
Median Absolute Deviation (MAD)	0.5
Skewness	1.0552209
Sum	5846.9
Variance	0.59544366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9	276	4.5%
0.8	263	4.3%
1.2	258	4.2%
1	255	4.2%
0.7	253	4.2%
0.6	251	4.1%
0.5	242	4.0%
1.1	228	3.8%
0.4	223	3.7%
1.3	213	3.5%
Other values (43)	2098	34.5%
(Missing)	1520	25.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.1%
0.1	40	0.7%
0.2	119	2.0%
0.3	131	2.2%
0.4	223	3.7%
0.5	242	4.0%
0.6	251	4.1%
0.7	253	4.2%
0.8	263	4.3%
0.9	276	4.5%

Value	Count	Frequency (%)
5.6	1	< 0.1%
5.3	1	< 0.1%
5.1	1	< 0.1%
4.9	1	< 0.1%
4.8	1	< 0.1%
4.7	1	< 0.1%
4.6	2	< 0.1%
4.5	2	< 0.1%
4.4	2	< 0.1%
4.3	2	< 0.1%

poss
Real number (ℝ)

Distinct	65
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.011349

Minimum	18
Maximum	82
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	18
5-th percentile	32
Q1	42
median	50
Q3	58
95-th percentile	68
Maximum	82
Range	64
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.125865
Coefficient of variation (CV)	0.2224668
Kurtosis	-0.41283095
Mean	50.011349
Median Absolute Deviation (MAD)	8
Skewness	-0.00026194006
Sum	304069
Variance	123.78487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	223	3.7%
51	219	3.6%
54	216	3.6%
46	213	3.5%
52	210	3.5%
48	205	3.4%
45	200	3.3%
55	197	3.2%
50	190	3.1%
56	186	3.1%
Other values (55)	4021	66.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	3	< 0.1%
19	5	0.1%
20	3	< 0.1%
21	8	0.1%
22	4	0.1%
23	7	0.1%
24	13	0.2%
25	17	0.3%
26	17	0.3%
27	27	0.4%

Value	Count	Frequency (%)
82	3	< 0.1%
81	5	0.1%
80	3	< 0.1%
79	8	0.1%
78	4	0.1%
77	8	0.1%
76	12	0.2%
75	17	0.3%
74	18	0.3%
73	26	0.4%

attendance
Real number (ℝ)

Distinct	2458
Distinct (%)	48.2%
Missing	976
Missing (%)	16.1%
Infinite	0
Infinite (%)	0.0%
Mean	27422.964

Minimum	13
Maximum	98485
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	13
5-th percentile	6557.15
Q1	14131.25
median	19872
Q3	37792
95-th percentile	69877.1
Maximum	98485
Range	98472
Interquartile range (IQR)	23660.75

Descriptive statistics

Standard deviation	19003.476
Coefficient of variation (CV)	0.69297671
Kurtosis	1.1148889
Mean	27422.964
Median Absolute Deviation (MAD)	8599
Skewness	1.2828629
Sum	1.3996681 × 10⁸
Variance	3.6113208 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10922	10	0.2%
11454	10	0.2%
19840	8	0.1%
10958	6	0.1%
9231	6	0.1%
16783	6	0.1%
19832	4	0.1%
23745	4	0.1%
16603	4	0.1%
17000	4	0.1%
Other values (2448)	5042	82.9%
(Missing)	976	16.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	2	< 0.1%
200	2	< 0.1%
583	2	< 0.1%
1738	2	< 0.1%
2689	2	< 0.1%
2896	2	< 0.1%
3280	2	< 0.1%
3518	2	< 0.1%
3576	2	< 0.1%
3592	2	< 0.1%

Value	Count	Frequency (%)
98485	2	< 0.1%
97939	2	< 0.1%
95745	2	< 0.1%
94990	2	< 0.1%
93426	2	< 0.1%
93265	2	< 0.1%
92795	2	< 0.1%
92605	2	< 0.1%
92453	2	< 0.1%
91917	2	< 0.1%

captain
Categorical

Distinct	306
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Hugo Mallo	205
Sergio Ramos	155
Jesús Navas	143
Daniel Parejo	140
José Luis Morales	139
Other values (301)	5298

Length

Max length	28
Median length	19
Mean length	11.787007
Min length	4

Characters and Unicode

Total characters	71665
Distinct characters	73
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	73 ?
Unique (%)	1.2%

Sample

1st row	Sergio Busquets
2nd row	Marc-André ter Stegen
3rd row	Sergio Busquets
4th row	Sergio Busquets
5th row	Sergio Busquets

Common Values

Value	Count	Frequency (%)
Hugo Mallo	205	3.4%
Sergio Ramos	155	2.5%
Jesús Navas	143	2.4%
Daniel Parejo	140	2.3%
José Luis Morales	139	2.3%
Lionel Messi	135	2.2%
Koke	134	2.2%
Iker Muniain	133	2.2%
Joaquín	124	2.0%
Mario Gaspar	122	2.0%
Other values (296)	4650	76.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
garcía	363	3.1%
sergio	339	2.9%
josé	266	2.3%
luis	228	2.0%
hugo	205	1.8%
mallo	205	1.8%
lópez	184	1.6%
víctor	167	1.4%
david	164	1.4%
javi	155	1.3%
Other values (405)	9379	80.5%

Most occurring characters

Value	Count	Frequency (%)
a	7811	10.9%
o	5730	8.0%
	5575	7.8%
e	5325	7.4%
r	5081	7.1%
i	4667	6.5%
n	3988	5.6%
s	3153	4.4%
l	2912	4.1%
u	1883	2.6%
Other values (63)	25540	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54473	76.0%
Uppercase Letter	11599	16.2%
Space Separator	5575	7.8%
Dash Punctuation	18	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7811	14.3%
o	5730	10.5%
e	5325	9.8%
r	5081	9.3%
i	4667	8.6%
n	3988	7.3%
s	3153	5.8%
l	2912	5.3%
u	1883	3.5%
d	1374	2.5%
Other values (31)	12549	23.0%

Uppercase Letter

Value	Count	Frequency (%)
M	1682	14.5%
G	1144	9.9%
J	1023	8.8%
S	860	7.4%
D	774	6.7%
A	749	6.5%
L	729	6.3%
R	639	5.5%
P	513	4.4%
I	488	4.2%
Other values (20)	2998	25.8%

Space Separator

Value	Count	Frequency (%)
	5575	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66072	92.2%
Common	5593	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7811	11.8%
o	5730	8.7%
e	5325	8.1%
r	5081	7.7%
i	4667	7.1%
n	3988	6.0%
s	3153	4.8%
l	2912	4.4%
u	1883	2.8%
M	1682	2.5%
Other values (61)	23840	36.1%

Common

Value	Count	Frequency (%)
	5575	99.7%
-	18	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	68747	95.9%
None	2918	4.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7811	11.4%
o	5730	8.3%
	5575	8.1%
e	5325	7.7%
r	5081	7.4%
i	4667	6.8%
n	3988	5.8%
s	3153	4.6%
l	2912	4.2%
u	1883	2.7%
Other values (44)	22622	32.9%

None

Value	Count	Frequency (%)
í	866	29.7%
é	639	21.9%
á	400	13.7%
ú	279	9.6%
ó	221	7.6%
Á	141	4.8%
à	89	3.1%
Ó	86	2.9%
ñ	81	2.8%
ć	48	1.6%
Other values (9)	68	2.3%

formation
Categorical

Distinct	22
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

4-4-2	1765
4-2-3-1	1552
4-3-3	1101
4-1-4-1	378
5-3-2	287
Other values (17)	997

Length

Max length	10
Median length	5
Mean length	5.8245066
Min length	5

Characters and Unicode

Total characters	35413
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	4-3-3
2nd row	3-2-4-1
3rd row	4-3-3
4th row	4-3-3
5th row	4-3-3

Common Values

Value	Count	Frequency (%)
4-4-2	1765	29.0%
4-2-3-1	1552	25.5%
4-3-3	1101	18.1%
4-1-4-1	378	6.2%
5-3-2	287	4.7%
3-4-3	229	3.8%
3-5-2	133	2.2%
5-4-1	121	2.0%
4-4-1-1	103	1.7%
4-1-3-2	100	1.6%
Other values (12)	311	5.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4-4-2	1765	29.0%
4-2-3-1	1552	25.5%
4-3-3	1101	18.1%
4-1-4-1	378	6.2%
5-3-2	287	4.7%
3-4-3	229	3.8%
3-5-2	133	2.2%
5-4-1	121	2.0%
4-4-1-1	103	1.7%
4-1-3-2	100	1.6%
Other values (12)	311	5.1%

Most occurring characters

Value	Count	Frequency (%)
-	14630	41.3%
4	7896	22.3%
3	4934	13.9%
2	4183	11.8%
1	3108	8.8%
5	588	1.7%
◆	73	0.2%
0	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20710	58.5%
Dash Punctuation	14630	41.3%
Other Symbol	73	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	7896	38.1%
3	4934	23.8%
2	4183	20.2%
1	3108	15.0%
5	588	2.8%
0	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	14630	100.0%

Other Symbol

Value	Count	Frequency (%)
◆	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	35413	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	14630	41.3%
4	7896	22.3%
3	4934	13.9%
2	4183	11.8%
1	3108	8.8%
5	588	1.7%
◆	73	0.2%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35340	99.8%
Geometric Shapes	73	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	14630	41.4%
4	7896	22.3%
3	4934	14.0%
2	4183	11.8%
1	3108	8.8%
5	588	1.7%
0	1	< 0.1%

Geometric Shapes

Value	Count	Frequency (%)
◆	73	100.0%

referee
Categorical

Distinct	40
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

José Sánchez	320
Ricardo de Burgos	312
Carlos del Cerro	312
Jesús Gil	312
Juan Martínez	298
Other values (35)	4526

Length

Max length	24
Median length	16
Mean length	14.500987
Min length	9

Characters and Unicode

Total characters	88166
Distinct characters	49
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alejandro Hernández
2nd row	José Luis Munuera
3rd row	Ricardo de Burgos
4th row	Antonio Matéu Lahoz
5th row	Carlos del Cerro

Common Values

Value	Count	Frequency (%)
José Sánchez	320	5.3%
Ricardo de Burgos	312	5.1%
Carlos del Cerro	312	5.1%
Jesús Gil	312	5.1%
Juan Martínez	298	4.9%
Alejandro Hernández	292	4.8%
Mario Melero	286	4.7%
Antonio Matéu Lahoz	276	4.5%
Santiago Jaime	270	4.4%
Javier Estrada	236	3.9%
Other values (30)	3166	52.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
josé	790	5.8%
gonzález	438	3.2%
carlos	430	3.1%
de	426	3.1%
alejandro	366	2.7%
juan	338	2.5%
sánchez	320	2.3%
cerro	312	2.3%
jesús	312	2.3%
gil	312	2.3%
Other values (61)	9640	70.4%

Most occurring characters

Value	Count	Frequency (%)
o	7834	8.9%
a	7664	8.7%
	7604	8.6%
e	7122	8.1%
r	6808	7.7%
n	5046	5.7%
i	4618	5.2%
l	4490	5.1%
s	3718	4.2%
d	3590	4.1%
Other values (39)	29672	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	67616	76.7%
Uppercase Letter	12946	14.7%
Space Separator	7604	8.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7834	11.6%
a	7664	11.3%
e	7122	10.5%
r	6808	10.1%
n	5046	7.5%
i	4618	6.8%
l	4490	6.6%
s	3718	5.5%
d	3590	5.3%
z	2752	4.1%
Other values (17)	13974	20.7%

Uppercase Letter

Value	Count	Frequency (%)
J	2098	16.2%
M	1834	14.2%
A	1378	10.6%
C	1320	10.2%
G	976	7.5%
S	752	5.8%
P	596	4.6%
R	540	4.2%
I	502	3.9%
L	494	3.8%
Other values (11)	2456	19.0%

Space Separator

Value	Count	Frequency (%)
	7604	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	80562	91.4%
Common	7604	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7834	9.7%
a	7664	9.5%
e	7122	8.8%
r	6808	8.5%
n	5046	6.3%
i	4618	5.7%
l	4490	5.6%
s	3718	4.6%
d	3590	4.5%
z	2752	3.4%
Other values (38)	26920	33.4%

Common

Value	Count	Frequency (%)
	7604	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84088	95.4%
None	4078	4.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	7834	9.3%
a	7664	9.1%
	7604	9.0%
e	7122	8.5%
r	6808	8.1%
n	5046	6.0%
i	4618	5.5%
l	4490	5.3%
s	3718	4.4%
d	3590	4.3%
Other values (32)	25594	30.4%

None

Value	Count	Frequency (%)
é	1428	35.0%
á	1314	32.2%
í	626	15.4%
ú	312	7.7%
Á	172	4.2%
ñ	150	3.7%
ó	76	1.9%

match report
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Match Report	6080

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	72960
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Match Report
2nd row	Match Report
3rd row	Match Report
4th row	Match Report
5th row	Match Report

Common Values

Value	Count	Frequency (%)
Match Report	6080	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
match	6080	50.0%
report	6080	50.0%

Most occurring characters

Value	Count	Frequency (%)
t	12160	16.7%
M	6080	8.3%
a	6080	8.3%
c	6080	8.3%
h	6080	8.3%
	6080	8.3%
R	6080	8.3%
e	6080	8.3%
p	6080	8.3%
o	6080	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54720	75.0%
Uppercase Letter	12160	16.7%
Space Separator	6080	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	12160	22.2%
a	6080	11.1%
c	6080	11.1%
h	6080	11.1%
e	6080	11.1%
p	6080	11.1%
o	6080	11.1%
r	6080	11.1%

Uppercase Letter

Value	Count	Frequency (%)
M	6080	50.0%
R	6080	50.0%

Space Separator

Value	Count	Frequency (%)
	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66880	91.7%
Common	6080	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	12160	18.2%
M	6080	9.1%
a	6080	9.1%
c	6080	9.1%
h	6080	9.1%
R	6080	9.1%
e	6080	9.1%
p	6080	9.1%
o	6080	9.1%
r	6080	9.1%

Common

Value	Count	Frequency (%)
	6080	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	12160	16.7%
M	6080	8.3%
a	6080	8.3%
c	6080	8.3%
h	6080	8.3%
	6080	8.3%
R	6080	8.3%
e	6080	8.3%
p	6080	8.3%
o	6080	8.3%

notes
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	6080
Missing (%)	100.0%
Memory size	95.0 KiB

sh
Real number (ℝ)

Distinct	36
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.65625

Minimum	0
Maximum	36
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	8
median	11
Q3	14
95-th percentile	20
Maximum	36
Range	36
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.7474734
Coefficient of variation (CV)	0.40728994
Kurtosis	0.70509384
Mean	11.65625
Median Absolute Deviation (MAD)	3
Skewness	0.64605538
Sum	70870
Variance	22.538503
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
9	544	8.9%
10	538	8.8%
11	495	8.1%
12	472	7.8%
13	465	7.6%
8	459	7.5%
14	439	7.2%
7	373	6.1%
15	331	5.4%
6	328	5.4%
Other values (26)	1636	26.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	9	0.1%
2	20	0.3%
3	89	1.5%
4	140	2.3%
5	199	3.3%
6	328	5.4%
7	373	6.1%
8	459	7.5%
9	544	8.9%

Value	Count	Frequency (%)
36	1	< 0.1%
35	1	< 0.1%
33	1	< 0.1%
32	1	< 0.1%
31	2	< 0.1%
30	4	0.1%
29	6	0.1%
28	12	0.2%
27	14	0.2%
26	10	0.2%

sot
Real number (ℝ)

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9664474

Minimum	0
Maximum	17
Zeros	198
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	8
Maximum	17
Range	17
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.3339811
Coefficient of variation (CV)	0.58843112
Kurtosis	1.1691105
Mean	3.9664474
Median Absolute Deviation (MAD)	2
Skewness	0.84400139
Sum	24116
Variance	5.4474676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
3	1142	18.8%
4	1004	16.5%
2	958	15.8%
5	818	13.5%
1	583	9.6%
6	557	9.2%
7	363	6.0%
8	202	3.3%
0	198	3.3%
9	119	2.0%
Other values (8)	136	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	198	3.3%
1	583	9.6%
2	958	15.8%
3	1142	18.8%
4	1004	16.5%
5	818	13.5%
6	557	9.2%
7	363	6.0%
8	202	3.3%
9	119	2.0%

Value	Count	Frequency (%)
17	2	< 0.1%
16	1	< 0.1%
15	2	< 0.1%
14	4	0.1%
13	10	0.2%
12	20	0.3%
11	39	0.6%
10	58	1.0%
9	119	2.0%
8	202	3.3%

dist
Real number (ℝ)

Distinct	221
Distinct (%)	4.8%
Missing	1522
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.296402

Minimum	4.8
Maximum	46.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	4.8
5-th percentile	13.2
Q1	16.1
median	18.2
Q3	20.2
95-th percentile	24
Maximum	46.2
Range	41.4
Interquartile range (IQR)	4.1

Descriptive statistics

Standard deviation	3.3633114
Coefficient of variation (CV)	0.18382365
Kurtosis	2.2547034
Mean	18.296402
Median Absolute Deviation (MAD)	2.1
Skewness	0.61881333
Sum	83395
Variance	11.311863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.4	74	1.2%
18.6	71	1.2%
18.3	69	1.1%
17.3	66	1.1%
20.1	66	1.1%
19.3	63	1.0%
19.5	63	1.0%
17.6	62	1.0%
18	61	1.0%
18.7	60	1.0%
Other values (211)	3903	64.2%
(Missing)	1522	25.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.8	1	< 0.1%
6.3	1	< 0.1%
7	1	< 0.1%
8.3	1	< 0.1%
8.4	1	< 0.1%
8.7	1	< 0.1%
8.8	1	< 0.1%
9.1	3	< 0.1%
9.3	1	< 0.1%
9.5	2	< 0.1%

Value	Count	Frequency (%)
46.2	1	< 0.1%
36.9	1	< 0.1%
36.2	1	< 0.1%
35.9	1	< 0.1%
34.8	1	< 0.1%
33.8	1	< 0.1%
33.5	1	< 0.1%
33	1	< 0.1%
31.7	2	< 0.1%
31.4	1	< 0.1%

pk
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

0.0	5370
1.0	668
2.0	39
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18240
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5370	88.3%
1.0	668	11.0%
2.0	39	0.6%
3.0	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5370	88.3%
1.0	668	11.0%
2.0	39	0.6%
3.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11450	62.8%
.	6080	33.3%
1	668	3.7%
2	39	0.2%
3	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12160	66.7%
Other Punctuation	6080	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11450	94.2%
1	668	5.5%
2	39	0.3%
3	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11450	62.8%
.	6080	33.3%
1	668	3.7%
2	39	0.2%
3	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11450	62.8%
.	6080	33.3%
1	668	3.7%
2	39	0.2%
3	3	< 0.1%

pkatt
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

0.0	5167
1.0	835
2.0	72
3.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18240
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5167	85.0%
1.0	835	13.7%
2.0	72	1.2%
3.0	6	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5167	85.0%
1.0	835	13.7%
2.0	72	1.2%
3.0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11247	61.7%
.	6080	33.3%
1	835	4.6%
2	72	0.4%
3	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12160	66.7%
Other Punctuation	6080	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11247	92.5%
1	835	6.9%
2	72	0.6%
3	6	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	6080	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11247	61.7%
.	6080	33.3%
1	835	4.6%
2	72	0.4%
3	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11247	61.7%
.	6080	33.3%
1	835	4.6%
2	72	0.4%
3	6	< 0.1%

season
Real number (ℝ)

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2018.5

Minimum	2015
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	95.0 KiB

Quantile statistics

Minimum	2015
5-th percentile	2015
Q1	2016.75
median	2018.5
Q3	2020.25
95-th percentile	2022
Maximum	2022
Range	7
Interquartile range (IQR)	3.5

Descriptive statistics

Standard deviation	2.2914763
Coefficient of variation (CV)	0.0011352372
Kurtosis	-1.2381265
Mean	2018.5
Median Absolute Deviation (MAD)	2
Skewness	0
Sum	12272480
Variance	5.2508636
Monotonicity	Decreasing

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2022	760	12.5%
2021	760	12.5%
2020	760	12.5%
2019	760	12.5%
2018	760	12.5%
2017	760	12.5%
2016	760	12.5%
2015	760	12.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2015	760	12.5%
2016	760	12.5%
2017	760	12.5%
2018	760	12.5%
2019	760	12.5%
2020	760	12.5%
2021	760	12.5%
2022	760	12.5%

Value	Count	Frequency (%)
2022	760	12.5%
2021	760	12.5%
2020	760	12.5%
2019	760	12.5%
2018	760	12.5%
2017	760	12.5%
2016	760	12.5%
2015	760	12.5%

team
Categorical

Distinct	30
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	95.0 KiB

Barcelona	304
Athletic Club	304
Real Madrid	304
Celta Vigo	304
Sevilla	304
Other values (25)	4560

Length

Max length	19
Median length	14
Mean length	9.2
Min length	5

Characters and Unicode

Total characters	55936
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Barcelona
2nd row	Barcelona
3rd row	Barcelona
4th row	Barcelona
5th row	Barcelona

Common Values

Value	Count	Frequency (%)
Barcelona	304	5.0%
Athletic Club	304	5.0%
Real Madrid	304	5.0%
Celta Vigo	304	5.0%
Sevilla	304	5.0%
Valencia	304	5.0%
Real Betis	304	5.0%
Villarreal	304	5.0%
Real Sociedad	304	5.0%
Atletico Madrid	304	5.0%
Other values (20)	3040	50.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
real	912	10.8%
madrid	608	7.2%
barcelona	304	3.6%
valencia	304	3.6%
atletico	304	3.6%
sociedad	304	3.6%
villarreal	304	3.6%
athletic	304	3.6%
betis	304	3.6%
sevilla	304	3.6%
Other values (28)	4522	53.4%

Most occurring characters

Value	Count	Frequency (%)
a	8816	15.8%
l	6118	10.9%
e	5662	10.1%
i	3952	7.1%
o	2660	4.8%
t	2508	4.5%
r	2508	4.5%
d	2432	4.3%
	2394	4.3%
n	2166	3.9%
Other values (27)	16720	29.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	45068	80.6%
Uppercase Letter	8474	15.1%
Space Separator	2394	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	8816	19.6%
l	6118	13.6%
e	5662	12.6%
i	3952	8.8%
o	2660	5.9%
t	2508	5.6%
r	2508	5.6%
d	2432	5.4%
n	2166	4.8%
c	1976	4.4%
Other values (12)	6270	13.9%

Uppercase Letter

Value	Count	Frequency (%)
V	1216	14.3%
R	1064	12.6%
A	874	10.3%
C	836	9.9%
M	836	9.9%
S	684	8.1%
G	646	7.6%
L	608	7.2%
E	608	7.2%
B	608	7.2%
Other values (4)	494	5.8%

Space Separator

Value	Count	Frequency (%)
	2394	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	53542	95.7%
Common	2394	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	8816	16.5%
l	6118	11.4%
e	5662	10.6%
i	3952	7.4%
o	2660	5.0%
t	2508	4.7%
r	2508	4.7%
d	2432	4.5%
n	2166	4.0%
c	1976	3.7%
Other values (26)	14744	27.5%

Common

Value	Count	Frequency (%)
	2394	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	8816	15.8%
l	6118	10.9%
e	5662	10.1%
i	3952	7.1%
o	2660	4.8%
t	2508	4.5%
r	2508	4.5%
d	2432	4.3%
	2394	4.3%
n	2166	3.9%
Other values (27)	16720	29.9%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	date	time	comp	round	day	venue	result	gf	ga	opponent	xg	xga	poss	attendance	captain	formation	referee	match report	notes	sh	sot	dist	season	team
0	2022-08-13	21:00	La Liga	Matchweek 1	Sat	Home	D	0.0	0.0	Rayo Vallecano	1.9	0.5	67.0	81104.0	Sergio Busquets	4-3-3	Alejandro Hernández	Match Report	NaN	21.0	5.0	17.0	2022	Barcelona
1	2022-08-21	22:00	La Liga	Matchweek 2	Sun	Away	W	4.0	1.0	Real Sociedad	2.1	0.8	58.0	36201.0	Marc-André ter Stegen	3-2-4-1	José Luis Munuera	Match Report	NaN	15.0	7.0	14.6	2022	Barcelona
2	2022-08-28	19:30	La Liga	Matchweek 3	Sun	Home	W	4.0	0.0	Valladolid	2.6	0.8	67.0	83972.0	Sergio Busquets	4-3-3	Ricardo de Burgos	Match Report	NaN	24.0	9.0	14.4	2022	Barcelona
3	2022-09-03	21:00	La Liga	Matchweek 4	Sat	Away	W	3.0	0.0	Sevilla	4.0	1.0	54.0	40233.0	Sergio Busquets	4-3-3	Antonio Matéu Lahoz	Match Report	NaN	18.0	5.0	16.0	2022	Barcelona
5	2022-09-10	18:30	La Liga	Matchweek 5	Sat	Away	W	4.0	0.0	Cádiz	3.4	0.4	70.0	19530.0	Sergio Busquets	4-3-3	Carlos del Cerro	Match Report	NaN	16.0	8.0	14.9	2022	Barcelona
7	2022-09-17	16:15	La Liga	Matchweek 6	Sat	Home	W	3.0	0.0	Elche	3.9	0.0	76.0	85073.0	Marc-André ter Stegen	4-3-3	Alejandro Muñíz	Match Report	NaN	25.0	9.0	15.0	2022	Barcelona
8	2022-10-01	21:00	La Liga	Matchweek 7	Sat	Away	W	1.0	0.0	Mallorca	0.7	1.2	71.0	18103.0	Sergio Busquets	4-3-3	Jesús Gil	Match Report	NaN	11.0	3.0	18.7	2022	Barcelona
10	2022-10-09	21:00	La Liga	Matchweek 8	Sun	Home	W	1.0	0.0	Celta Vigo	2.0	1.5	57.0	81525.0	Sergio Busquets	4-3-3	José Luis Munuera	Match Report	NaN	13.0	5.0	14.1	2022	Barcelona
12	2022-10-16	16:15	La Liga	Matchweek 9	Sun	Away	L	1.0	3.0	Real Madrid	2.0	1.1	56.0	62876.0	Sergio Busquets	4-3-3	José Sánchez	Match Report	NaN	18.0	5.0	15.6	2022	Barcelona
13	2022-10-20	21:00	La Liga	Matchweek 10	Thu	Home	W	3.0	0.0	Villarreal	2.1	0.4	69.0	73261.0	Sergi Roberto	4-3-3	Carlos del Cerro	Match Report	NaN	16.0	5.0	14.2	2022	Barcelona

	date	time	comp	round	day	venue	result	gf	ga	opponent	xg	xga	poss	attendance	captain	formation	referee	match report	notes	sh	sot	dist	pk	pkatt	season	team
30	2016-03-13	12:00	La Liga	Matchweek 29	Sun	Home	W	1.0	0.0	Valencia	NaN	NaN	46.0	18191.0	Diego Mariño	4-4-2	Carlos del Cerro	Match Report	NaN	13.0	6.0	NaN	0.0	0.0	2015	Levante
31	2016-03-19	20:30	La Liga	Matchweek 30	Sat	Away	L	1.0	2.0	La Coruña	NaN	NaN	47.0	24920.0	Juanfran	4-4-2	Iñaki Bikandi	Match Report	NaN	7.0	1.0	NaN	0.0	0.0	2015	Levante
32	2016-04-04	20:30	La Liga	Matchweek 31	Mon	Home	D	0.0	0.0	Sporting Gijón	NaN	NaN	54.0	11302.0	Juanfran	4-4-2	Mario Melero	Match Report	NaN	16.0	4.0	NaN	0.0	0.0	2015	Levante
33	2016-04-09	22:05	La Liga	Matchweek 32	Sat	Away	L	0.0	1.0	Betis	NaN	NaN	49.0	37091.0	Juanfran	4-4-2	Eduardo Prieto	Match Report	NaN	12.0	3.0	NaN	0.0	0.0	2015	Levante
34	2016-04-15	20:30	La Liga	Matchweek 33	Fri	Home	W	2.0	1.0	Espanyol	NaN	NaN	51.0	16192.0	Juanfran	4-4-2	Alejandro Hernández	Match Report	NaN	12.0	4.0	NaN	0.0	0.0	2015	Levante
35	2016-04-21	21:00	La Liga	Matchweek 34	Thu	Away	L	1.0	5.0	Granada	NaN	NaN	52.0	21131.0	David Navarro	4-4-2	Santiago Jaime	Match Report	NaN	15.0	5.0	NaN	0.0	0.0	2015	Levante
36	2016-04-24	12:00	La Liga	Matchweek 35	Sun	Home	D	2.0	2.0	Athletic Club	NaN	NaN	36.0	15263.0	Juanfran	4-4-2	Ignacio Iglesias	Match Report	NaN	10.0	5.0	NaN	0.0	0.0	2015	Levante
37	2016-05-02	20:30	La Liga	Matchweek 36	Mon	Away	L	1.0	3.0	Málaga	NaN	NaN	42.0	17562.0	Juanfran	4-4-2	Iñaki Bikandi	Match Report	NaN	11.0	5.0	NaN	0.0	0.0	2015	Levante
38	2016-05-08	17:00	La Liga	Matchweek 37	Sun	Home	W	2.0	1.0	Atlético Madrid	NaN	NaN	55.0	12054.0	Juanfran	4-2-3-1	José González	Match Report	NaN	11.0	5.0	NaN	0.0	0.0	2015	Levante
39	2016-05-15	19:30	La Liga	Matchweek 38	Sun	Away	L	1.0	3.0	Rayo Vallecano	NaN	NaN	44.0	12547.0	Juanfran	4-2-3-1	Carlos Clos Gómez	Match Report	NaN	8.0	2.0	NaN	1.0	1.0	2015	Levante

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category